CN112504628A - Ship model test pool wave making machine control system and method based on face recognition - Google Patents
Ship model test pool wave making machine control system and method based on face recognition Download PDFInfo
- Publication number
- CN112504628A CN112504628A CN202011319337.0A CN202011319337A CN112504628A CN 112504628 A CN112504628 A CN 112504628A CN 202011319337 A CN202011319337 A CN 202011319337A CN 112504628 A CN112504628 A CN 112504628A
- Authority
- CN
- China
- Prior art keywords
- wave
- control module
- making
- face recognition
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012360 testing method Methods 0.000 title claims abstract description 42
- 238000000034 method Methods 0.000 title claims abstract description 17
- 238000012795 verification Methods 0.000 claims description 26
- 238000012549 training Methods 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000013480 data collection Methods 0.000 claims description 3
- 230000001788 irregular Effects 0.000 claims description 2
- 238000001514 detection method Methods 0.000 claims 1
- 238000012545 processing Methods 0.000 claims 1
- 238000012546 transfer Methods 0.000 claims 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
- 238000013475 authorization Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 2
- 239000010931 gold Substances 0.000 description 2
- 229910052737 gold Inorganic materials 0.000 description 2
- 238000007781 pre-processing Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000004806 packaging method and process Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000000717 retained effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M10/00—Hydrodynamic testing; Arrangements in or on ship-testing tanks or water tunnels
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Physics & Mathematics (AREA)
- Fluid Mechanics (AREA)
- General Physics & Mathematics (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
本发明公开了一种基于人脸识别的船模试验水池造波机控制系统及控制方法，所述控制系统由人脸识别控制模块、造波控制模块、运动控制器、造波机、云服务器和终端构成，其中，所述人脸识别控制模块通过互联网与造波控制模块相连，所述造波控制模块通过RJ‑45接口与运动控制器相连，通过USB、串口接口和测试仪器相连；所述运动控制器通过CAN总线与造波机相连；所述终端通过互联网和人脸识别控制模块相连；所述云服务器通过互联网和人脸识别控制模块相连；通过互联网和造波控制模块相连。本发明能实现造波机控制系统的操作权限管理，对造波机控制系统的操作流程可进行回溯，可对造波机控制系统采集的实验数据进行保护和清理。
The invention discloses a control system and a control method for a wave generator in a ship model test pool based on face recognition. The control system comprises a face recognition control module, a wave generator control module, a motion controller, a wave generator and a cloud server. and a terminal, wherein the face recognition control module is connected with the wave-making control module through the Internet, the wave-making control module is connected with the motion controller through the RJ-45 interface, and is connected with the test instrument through the USB, serial port interface; The motion controller is connected with the wave making machine through the CAN bus; the terminal is connected with the face recognition control module through the Internet; the cloud server is connected with the face recognition control module through the Internet; and the wave making control module is connected through the Internet. The invention can realize the operation authority management of the wave generator control system, can backtrack the operation flow of the wave generator control system, and can protect and clean the experimental data collected by the wave generator control system.
Description
Technical Field
The invention relates to a wave generator control system, in particular to a ship model test pool wave generator control system based on face recognition and a control method thereof.
Background
The ship model test pool is an important facility for carrying out ship performance research and test, and is a place for ship model test. The large-scale equipment in ocean engineering basically needs to be subjected to a pool model test before launching, and reliable ship motion data and structural stress conditions are obtained through the test, so that a reliable basis is provided for the design of ocean equipment.
The wave generator control system of the ship model test pool is the most core system, and generally needs to be operated by a special person or a person after training and authorization so as to avoid the fault of the wave generator caused by misoperation. However, due to the fact that the ship model test period is long, managers cannot supervise and manage the ship model on site for 24 hours, unauthorized persons can often operate the wave generator, and great hidden dangers are brought to normal use of the wave generator.
In the ship model test, the use flow and input parameters of the wave generator are strictly specified, and an operator must operate the wave generator according to the strict specification. However, at present, the operation process and the input parameters of the operator are not managed and controlled, and the traceability cannot be performed even when the operator goes wrong.
At present, in a ship model test, no good protection measures are provided for experimental data collected by a wave generator system, various personnel copy and modify the experimental data at will, garbage data are retained in a control system for a long time, the performance of the wave generator system is negatively affected, and the safety of the experimental data cannot be guaranteed.
Disclosure of Invention
The invention aims to provide a ship model test pool wave maker control system based on face recognition and a control method thereof, aiming at the problems and the defects of the ship model test pool wave maker control system.
The invention can realize the operation authority management of the wave making machine control system, backtrack the operation process of the wave making machine control system and protect and clean the experimental data collected by the wave making machine control system.
In order to achieve the purpose, the invention adopts the following technical scheme to realize the purpose:
a ship model test pool wave maker control system based on face recognition comprises a face recognition control module, a wave maker control module, a motion controller, a wave maker, a cloud server and a terminal.
The face recognition control module is connected with the wave generation control module through the internet and used for exchanging data with the wave generation control module.
The wave-making control module is connected with the motion controller through an RJ-45 interface and used for sending instructions to the motion controller; the device is connected with a testing instrument through interfaces such as a USB (universal serial bus), a serial port and the like and is used for acquiring experimental data.
The wave generator is an electric push plate type wave generator.
The motion controller is connected with the wave generator through a CAN bus and sends a motion command to control the wave generator to move.
The wave making machine moves according to the motion instruction to make appointed waves in the ship model test water pool.
The terminal is connected with the face recognition control module through the internet and used for shooting a face image of an operator to detect and recognize and sending a control instruction to the face recognition control module, and a notebook computer or a smart phone with a camera is preferably adopted.
The cloud server is connected with the face recognition control module through the Internet and is used for receiving user authority identification information of the face recognition control module; and the device is connected with the wave-making control module through the Internet and is used for receiving the acquired experimental data.
The face recognition control module consists of a face detection program module, a feature extraction program module, a face recognition program module, a control program module and a face feature database and is installed on a network server.
The wave generating control module consists of an industrial personal computer provided with wave generating control software.
The motion controller is a network-based multi-axis mechanical motion controller, preferably an Elmo Gold Maestro series motion controller.
A control method of a ship model test pool wave maker control system based on face recognition comprises the following steps:
the method comprises the following steps: the administrator conducts operation training on wave making machine operators in the test, authorization is conducted after the training is qualified, face image data of specified operators are transmitted to the face recognition control module through the camera of the terminal, and after the face recognition control module processes the face image data, face features are stored in the face feature database.
Step two: before the test, a power supply of a wave-making control module is turned on, an operator logs in a face recognition control module through the Internet by using a terminal to perform face recognition verification, an operation interface of a control program module is displayed after the verification is passed, and if the verification is not passed for three times, the system is locked and needs to be unlocked by an administrator;
step three: an operator inputs wave-making parameters such as period, wave height and the like on an operation interface of the control program module by using a terminal, and clicks a wave-making starting button; the face recognition control module starts face recognition verification, judges whether an operator is an authorized operator or not, and after the verification is passed, a control program module in the face recognition control module sends a network data packet in which a wave making parameter and a wave making starting field are packaged to the wave making control module through the Internet; giving a prompt if the verification is not passed;
step four: after receiving the network data packet which encapsulates the wave making parameters and the starting wave making field, the wave making control module calculates the amplitude pushing value of the wave making machine push plate according to the wave making parameters and sends a motion instruction to the motion controller;
step five: the motion controller sends a motion data signal to a driver of the wave maker according to the received motion instruction, and drives a push plate of the wave maker to move so as to generate waves;
step six: acquiring experimental data (such as wave height, force, motion and the like), transmitting the experimental data to a wave-making control module through interfaces such as a USB (universal serial bus), a serial port and the like for temporary storage, after the data acquisition is finished, packaging the experimental data into a network data packet by the wave-making control module through the Internet, transmitting the network data packet to a cloud server for storage to form a file, and then deleting the temporarily stored data by the wave-making control module;
step seven: an operator requests to check or download experimental data on an operation interface of the control program module by using a terminal, the face recognition control module starts face recognition verification to judge whether the operator is authorized, and after the verification is passed, the control program module in the face recognition control module sends a network data packet in which a data request instruction is packaged to the cloud server through the Internet; giving a prompt if the verification is not passed;
step eight: after receiving the network data packet packaged with the request data instruction, the cloud server establishes connection with the terminal through the internet and transmits experimental data, an operator checks or stores the data through the terminal, and after transmission is finished, the cloud server is disconnected from the terminal and writes a transmitted data event into an operation log.
Compared with the prior art, the invention has the characteristics and beneficial effects that:
1. the authority control of operators of the wave generator system can be realized, only authorized operators can operate the wave generator, and the damage to the wave generator caused by improper operation is avoided to the maximum extent;
2. all the operations of the wave making machine by the operators can be traced on the operation log of the cloud server by the administrator, and the responsibility can be conveniently determined if an accident occurs;
3. the acquired experimental data are stored on the cloud server, no redundant data are stored in the wave-making control module, and only authorized operators have rights to check and download the data, so that the data security and the wave-making control module security are effectively ensured.
Drawings
FIG. 1 is a schematic block diagram of a ship model test pool wave maker control system based on face recognition;
FIG. 2 is a block diagram schematically illustrating the construction of a face recognition control module;
FIG. 3 is a flow chart of a control method of a ship model test pool wave maker control system based on face recognition.
The specific implementation mode is as follows:
the following describes in detail a control system and a control method for a water tank wave maker for a ship model test based on face recognition with reference to the accompanying drawings and specific embodiments.
As shown in fig. 1-2, the ship model test water pool wave-making machine control system based on face recognition of the present invention includes a cloud server 1, an internet 2, a face recognition control module 3, a terminal 4, a wave-making control module 5, a motion controller 6, and a wave-making machine 7.
The face recognition control module 3 is connected with the wave generation control module 5 through the internet 2 and is used for exchanging data with the wave generation control module 5.
The wave-making control module 5 is connected with the motion controller 6 through an RJ-45 interface and is used for sending instructions to the motion controller 6; the device is connected with a testing instrument through interfaces such as a USB (universal serial bus), a serial port and the like and is used for acquiring experimental data.
The wave generator 7 is an electric push plate type wave generator.
The motion controller 6 is connected with the wave generator 7 through a CAN bus and sends a motion instruction to control the motion of the wave generator 7.
The wave generator 7 moves according to the motion instruction to generate the appointed wave in the ship model test pool.
The terminal 4 is connected with the face recognition control module 3 through the internet 2 and is used for shooting a face image of an operator to detect and recognize the face image and sending a control instruction to the face recognition control module 3.
The cloud server 1 is connected with the face recognition control module 3 through the internet 2 and is used for receiving user authority identification information of the face recognition control module 3; and the device is connected with the wave generation control module 5 through the internet 2 and is used for receiving the collected experimental data.
The face recognition control module 3 is composed of a face detection program module 3-1, a feature extraction program module 3-2, a face recognition program module 3-4, a control program module 3-5 and a face feature database 3-3 and is installed on a network server.
The wave-making control module 5 is composed of an industrial personal computer provided with wave-making control software.
In the following embodiments, the terminal 4 preferably employs a notebook computer or a smart phone with a camera, the motion controller 6 preferably employs an Elmo Gold Maestro series motion controller, and the specific implementation flow is as shown in fig. 3, and a control method of a ship model test pool wave-making machine control system based on face recognition includes the following specific contents and steps:
1. the administrator trains the wave generator operators in the test, authorizes after the training is qualified, transmits the face image data of the specified operators to a face detection program module 3-1 of a face recognition control module 3 through a camera of a terminal 4, the face detection program module 3-1 detects face images and carries out preprocessing, then the face images are sent to a feature extraction program module 3-2 to carry out face feature extraction, and the extracted face feature data are stored in a face feature database 3-3.
2. Before the test, the power supply of the wave-making control module 5 is turned on, an authorized operator logs in the face recognition control module 3 through the internet 2 by using the terminal 4, and face recognition verification is started. The face detection program module 3-1 detects a face image and carries out preprocessing, then the face image is sent to the feature extraction program module 3-2 to carry out face feature extraction, face recognition is carried out by the face recognition program module 3-4 after face features are extracted, the face recognition program module 3-4 compares the obtained face feature data with face feature data existing in the face feature database 3-3, after comparison, a recognition result is sent to the control program module 3-5, if the recognition result is that verification is passed, an operation interface of the control program module is displayed, if the recognition result of three times is that verification is not passed, the face recognition control module 3 is locked, and a manager is required to carry out face recognition and input a password to implement an unlocking system.
3. Authorized operators input wave-making parameters such as period, wave height and the like required by the test working condition on the operation interface of the program control module by using the terminal 4, and click a start wave-making button; the face recognition control module 3 starts face recognition verification, judges whether the operator is an authorized operator, and sends a network data packet which encapsulates wave generation parameters and a starting wave generation field to the wave generation control module 5 through the internet 2 by a control program module 3-5 in the face recognition control module 3 after the verification is passed, wherein the starting wave generation field is 0 to indicate that no wave is generated, 1 to indicate that a regular wave is generated, and 2X (X is a natural number) to indicate that irregular waves of different types are generated. Meanwhile, the control program module 3-5 also sends the network data packet which encapsulates the wave-making parameter and the wave-making starting field to the cloud server 1 through the internet 2, and writes an operation log; if the verification is not passed, a prompt is given, and authorized personnel are required to operate the system.
4. After receiving the network data packet in which the wave-making parameter and the start wave-making field are encapsulated, the wave-making control module 5 calculates the amplitude pushing value of the wave-making machine push plate according to the wave-making parameter, and sends a motion instruction to the motion controller 6.
5. The motion controller 6 sends a motion data signal to a driver of the wave generator 7 according to the received motion command, and drives a push plate of the wave generator 7 to move so as to generate waves.
6. The tester starts to collect experimental data (such as wave height, force, motion and the like), and transmits the experimental data to the wave-making control module 5 through interfaces such as a USB (universal serial bus) and a serial port for temporary storage, after the data collection is finished, the wave-making control module 5 encapsulates the experimental data into a network data packet through the Internet 2 and transmits the network data packet to the cloud server 1 for storage to form a data file, and after the data collection is successful, the cloud server 1 transmits a notification message data packet through the Internet 2 to the wave-making control module 5 to delete the temporarily stored data.
7. Authorized operators use the terminal 4 to request to check or download experimental data on the control program module operation interface, the face recognition control module 3 starts face recognition verification to judge whether the operators are authorized operators, and after the verification is passed, the control program module 3-5 in the face recognition control module 3 sends a network data packet which encapsulates a request data instruction to the cloud server 1 through the internet 2; if the verification is not passed, a prompt is given, and authorized personnel are required to operate the system.
8. After receiving the network data packet in which the request data instruction is packaged, the cloud server 1 establishes connection with the terminal 4 through the internet 2, transmits experimental data, allows an operator to check or store the data through the terminal 4, and after transmission is completed, the cloud server 1 disconnects connection with the terminal 4 and writes a transmitted data event into an operation log.
Claims (9)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011319337.0A CN112504628B (en) | 2020-11-23 | 2020-11-23 | Ship model test pool wave making machine control system and method based on face recognition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011319337.0A CN112504628B (en) | 2020-11-23 | 2020-11-23 | Ship model test pool wave making machine control system and method based on face recognition |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112504628A true CN112504628A (en) | 2021-03-16 |
| CN112504628B CN112504628B (en) | 2023-04-18 |
Family
ID=74959423
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011319337.0A Active CN112504628B (en) | 2020-11-23 | 2020-11-23 | Ship model test pool wave making machine control system and method based on face recognition |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112504628B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113624444A (en) * | 2021-07-22 | 2021-11-09 | 江苏科技大学 | Wave making machine control system capable of synchronously shooting and control method |
| CN115034418A (en) * | 2022-06-14 | 2022-09-09 | 江苏科技大学 | Ship model test pool laboratory equipment borrowing management system and method |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101771539A (en) * | 2008-12-30 | 2010-07-07 | 北京大学 | Face recognition based method for authenticating identity |
| CN101968636A (en) * | 2010-09-18 | 2011-02-09 | 青岛众盟电子科技有限公司 | Closed loop control method for indoor wind wave water tank wave maker |
| CN104766062A (en) * | 2015-04-07 | 2015-07-08 | 广西大学 | Face recognition system and register and recognition method based on lightweight class intelligent terminal |
| CN105223975A (en) * | 2015-08-26 | 2016-01-06 | 江苏科技大学 | A kind of ship model experimental tank automatic Control Systems of Liquids Height and control method thereof |
| CN107273783A (en) * | 2016-08-23 | 2017-10-20 | 苏州金脑袋智能系统工程有限公司 | Face identification system and its method |
| CN109919003A (en) * | 2019-01-23 | 2019-06-21 | 平安科技（深圳）有限公司 | Face recognition method, terminal device and computer-readable storage medium |
| CN110458154A (en) * | 2019-09-12 | 2019-11-15 | 腾讯科技（深圳）有限公司 | Face identification method, device and computer readable storage medium |
| CN111307413A (en) * | 2020-03-17 | 2020-06-19 | 江苏科技大学 | Intelligent correction system and method for ship model test pool waves based on cloud service |
| US20200284649A1 (en) * | 2019-03-05 | 2020-09-10 | Gaston Daniel Baudat | System and Method of Wavefront Sensing with Engineered Images |
-
2020
- 2020-11-23 CN CN202011319337.0A patent/CN112504628B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101771539A (en) * | 2008-12-30 | 2010-07-07 | 北京大学 | Face recognition based method for authenticating identity |
| CN101968636A (en) * | 2010-09-18 | 2011-02-09 | 青岛众盟电子科技有限公司 | Closed loop control method for indoor wind wave water tank wave maker |
| CN104766062A (en) * | 2015-04-07 | 2015-07-08 | 广西大学 | Face recognition system and register and recognition method based on lightweight class intelligent terminal |
| CN105223975A (en) * | 2015-08-26 | 2016-01-06 | 江苏科技大学 | A kind of ship model experimental tank automatic Control Systems of Liquids Height and control method thereof |
| CN107273783A (en) * | 2016-08-23 | 2017-10-20 | 苏州金脑袋智能系统工程有限公司 | Face identification system and its method |
| CN109919003A (en) * | 2019-01-23 | 2019-06-21 | 平安科技（深圳）有限公司 | Face recognition method, terminal device and computer-readable storage medium |
| US20200284649A1 (en) * | 2019-03-05 | 2020-09-10 | Gaston Daniel Baudat | System and Method of Wavefront Sensing with Engineered Images |
| CN110458154A (en) * | 2019-09-12 | 2019-11-15 | 腾讯科技（深圳）有限公司 | Face identification method, device and computer readable storage medium |
| CN111307413A (en) * | 2020-03-17 | 2020-06-19 | 江苏科技大学 | Intelligent correction system and method for ship model test pool waves based on cloud service |
Non-Patent Citations (1)
| Title |
|---|
| 张亚群等: "基于LabWindows/CVI及Trio205X的造波机控制系统开发", 《机床与液压》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113624444A (en) * | 2021-07-22 | 2021-11-09 | 江苏科技大学 | Wave making machine control system capable of synchronously shooting and control method |
| CN113624444B (en) * | 2021-07-22 | 2022-08-02 | 江苏科技大学 | A wave generator control system and control method capable of synchronizing camera |
| CN115034418A (en) * | 2022-06-14 | 2022-09-09 | 江苏科技大学 | Ship model test pool laboratory equipment borrowing management system and method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112504628B (en) | 2023-04-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112504628B (en) | Ship model test pool wave making machine control system and method based on face recognition | |
| CN105239897B (en) | A kind of intelligent safety door | |
| CN101789160B (en) | Spacing false-entering prevention system for intelligent video transformer substation | |
| CN105958644A (en) | Pressing plate information management system for intelligent transformer station | |
| CN111767583A (en) | Blockchain-based enterprise internal information security assurance method and system | |
| CN110992509A (en) | Equipment monitoring system and method for a production workshop | |
| CN109617234A (en) | A Wind Turbine Condition Monitoring System Based on Multidimensional Data | |
| CN107276823A (en) | O＆M safety operation supervising device and method based on message scheduling monitoring system | |
| CN112631177B (en) | Agricultural data acquisition device based on hardware encryption transmission | |
| CN108347433B (en) | Detect the system from the invasion to communication environment and intrusion detection method of | |
| CN110148233A (en) | It is a kind of for unlocking the system and method for substation's error-proof device | |
| CN118822497A (en) | An information security protection system for urban rail transit automation equipment | |
| CN103631227A (en) | Isolation method and isolation system | |
| CN104978302B (en) | A kind of intelligent and safe USB interface control method based on TCM chips | |
| CN114563996B (en) | Physical watermark detection method for industrial control system replay attack | |
| CN115001138B (en) | A system and method for automatic permission of opening and completion of main grid maintenance in power system | |
| CN115987621A (en) | A blockchain-based shore power network shooting range system | |
| CN105867342A (en) | Small hydropower station mobile terminal monitoring method based on embedded industrial personal computer | |
| CN116052308A (en) | Substation intelligent five-proof unlocking system based on two-dimensional code authorization and its implementation method | |
| CN114386044B (en) | Security testing method based on device driver dispatch function hook | |
| CN107508918A (en) | The safety pre-warning system and its method of a kind of car networking | |
| CN115396231A (en) | Network security equipment test system | |
| CN113624444B (en) | A wave generator control system and control method capable of synchronizing camera | |
| CN110020517B (en) | Intelligent test management and control system and method thereof | |
| CN113918915A (en) | Document generation method, apparatus, device and medium based on biological recognition |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |